Morning Overview on MSN

Uranus and Neptune might be misclassified and their cores tell the story

For decades, Uranus and Neptune have been filed neatly into the “ice giant” drawer, shorthand for worlds built mostly from ...
Chromatography Online

HPLC 2025 Revisited (Part Two): A Year-End Review of LCGC’s Conference Highlights

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...
IEEE

An Improved Bagging of Machine Learning Algorithms to Predict Motif Structures From Protein-Protein Interaction Networks

Abstract: Protein-protein interaction (PPI) networks play a vital role in the functional organization of cellular systems. Recurring subgraph patterns with these networks, known as motif structures, ...
Scientific Research Publishing

De-Risking Returns: How AI Can Reinvent Big Tech’s China-Tied Reverse Supply Chains ()

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Interesting Engineering

AI uncovers 360,000 DNA knots that quietly shape how genes turn on and off

AI maps fleeting DNA quadruplexes, revealing paired structures that control genes in healthy cells and cancer.
American Medical Association

Technology is redefining data collaboration in value-based care

Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...
MIT Technology Review

AI materials discovery now needs to move into the real world

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still ...
Frontiers

Protein-ligand binding affinity prediction using multi-instance learning with docking structures

Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement ...
EurekAlert!

Learning to be simple: machine learning uncovers structures in finite simple groups

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...